2006•Japanese Journal of Applied PhysicsOpen access

Application of Linear and Nonlinear Equalization Methods for Holographic Data Storage

Sheida Nabavi, B. V. K. Vijaya Kumar

Abstract

In this study, we analyze and compare the performances of the two-dimensional (2D) linear minimum mean square error (MMSE) and zero-forcing (ZF) equalization methods and the 2D nonlinear adaptive Volterra and adaptive decision feedback equalization methods for data pages recorded and retrieved in a holographic data storage system, as well as for simulated data. The results show that the MMSE equalizer works well even at a low signal-to-noise ratio (SNR). We also investigate the practical and simplified implementations of the 2D MMSE equalizer and show that these implementations do not degrade the performance of the equalizer significantly.

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Key concepts: Equalization (audio), Minimum mean square error, Adaptive equalizer, Computer science, Equalizer, Implementation, Nonlinear system, Noise (video)